Facebook AI Research Open Sources fastText
research.facebook.com
Facebook AI Research Open Sources fastText
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Re: Facebook AI Research Open Sources fastText
#2Jupyter notebook with some numbers on performance and accuracy of fastText:
https://github.com/jayantj/gensim/blob/fast_text_notebook/do...
This compares fastText against the word2vec implementation in gensim, on the syntactic/semantic word analogy task.
(raw pull request with comments: https://github.com/RaRe-Technologies/gensim/pull/815)
Re: Facebook AI Research Open Sources fastText
#3Link to the python interface https://pypi.python.org/pypi/fasttext
Re: Facebook AI Research Open Sources fastText
#4Previous discussion on fasttext: https://news.ycombinator.com/item?id=12226988
This submission is apparently the official announcement.
Re: Facebook AI Research Open Sources fastText
#5Jupyter notebook with some numbers on performance and accuracy of fastText: https://github.com/jayantj/gensim/blob/fast_text_notebook/do... This compares fastText against the word2vec implementation in gensim, on the syntactic/semantic word analogy task. (raw pull request with comments: https://github.com/RaRe-Technologies/gensim/pull/815 )
Note that this is only looking at the embeddings side of FastText (which looks quite impressive).
The classification side is equally interesting, and is better compared to things like VW, eg http://nlpers.blogspot.com.au/2016/08/fast-easy-baseline-tex...
VW is a pretty strong baseline here, so equaling it is a good accomplishment.
Re: Facebook AI Research Open Sources fastText
#6[deleted]
Re: Facebook AI Research Open Sources fastText
#7Jupyter notebook with some numbers on performance and accuracy of fastText: https://github.com/jayantj/gensim/blob/fast_text_notebook/do... This compares fastText against the word2vec implementation in gensim, on the syntactic/semantic word analogy task. (raw pull request with comments: https://github.com/RaRe-Technologies/gensim/pull/815 )
That notebook is great! thanks for sharing.